Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2025 in Layer 0

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0264. Min Range: -0.0264

Max Act: 0.0264. Min Act: -0.0006

Data Index: 99400 (C4 (Web Text))

Max Activating Token Index: 732

Text #1

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Max Act: 0.0242. Min Act: -0.0006

Data Index: 594877 (C4 (Web Text))

Max Activating Token Index: 317

Text #2

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 579058 (C4 (Web Text))

Max Activating Token Index: 734

Text #3

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Max Act: 0.0241. Min Act: -0.0006

Data Index: 192396 (C4 (Web Text))

Max Activating Token Index: 166

Text #4

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Max Act: 0.0239. Min Act: -0.0006

Data Index: 516525 (C4 (Web Text))

Max Activating Token Index: 31

Text #5

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Max Act: 0.0235. Min Act: -0.0006

Data Index: 870413 (C4 (Web Text))

Max Activating Token Index: 376

Text #6

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Data Index: 602458 (C4 (Web Text))

Max Activating Token Index: 327

Text #7

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Data Index: 607521 (C4 (Web Text))

Max Activating Token Index: 396

Text #8

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Max Activating Token Index: 814

Text #9

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Data Index: 913945 (C4 (Web Text))

Max Activating Token Index: 407

Text #10

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Data Index: 625603 (C4 (Web Text))

Max Activating Token Index: 100

Text #11

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Data Index: 1292595 (C4 (Web Text))

Max Activating Token Index: 308

Text #12

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Max Activating Token Index: 123

Text #13

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Data Index: 1272477 (C4 (Web Text))

Max Activating Token Index: 919

Text #14

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Data Index: 214679 (C4 (Web Text))

Max Activating Token Index: 304

Text #15

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Max Activating Token Index: 20

Text #16

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Max Activating Token Index: 22

Text #17

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Max Activating Token Index: 932

Text #18

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Data Index: 694620 (C4 (Web Text))

Max Activating Token Index: 229

Text #19

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Max Act: 0.0217. Min Act: -0.0006

Data Index: 366876 (C4 (Web Text))

Max Activating Token Index: 200